The Level of History Teachers’ Use Active Learning Methods and Technics
Bibliographic record
Abstract
An experience theory is required if the education is to be wisely carried out (John Dewey). Education is a discipline that saves lives if it is qualified, but loss of which could not be made up throughout generations if it is not qualified. The roots of society are based on the education, and educated masses and civilizations could either move into the future or could fall behind in the race of becoming civilized. The classical education notion which stays on the level of theory and is carried out, centering the teacher is being left by the developed countries and replaced with the education notion which centers the student and structures information by benefiting from experiences, thus aims to lead civilization race with citizens knowing the ways to reach the information and aware of their duties and responsibilities. While Kurt Lewin says nothing is as practical as a good theory, he also catches attention to the new education notion centering student that has changed and is changing. In this scope, the aim of this study is analyze how often active learning methods are used by history teachers through several variables. In the light of the data, after analysis results and explanations made in accordance with these results are written, the study is concluded with suggestions
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".